# GLM-4.5 vs Qwen2.5 7B Instruct

> GLM-4.5 is the stronger model overall, scoring 41.4 to 28.6 on the Noometry Index. Qwen2.5 7B Instruct costs 3.3× less per token, which makes it the better buy when GLM-4.5's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/glm-4-5-vs-qwen2-5-7b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in math, where GLM-4.5 leads 36.3 to 11.8.
- Qwen2.5 7B Instruct is cheaper at $0.17 / $0.70 per million input/output tokens, against $0.60 / $2.20 for GLM-4.5.

## Snapshot

| | GLM-4.5 | Qwen2.5 7B Instruct |
|---|---|---|
| Provider | Z.ai (Zhipu) | Alibaba (Qwen) |
| Noometry Index | 41.4 | 28.6 |
| Rank | 125 | 314 |
| Context | 131K | 131K |
| Input $/M | $0.60 | $0.17 |
| Output $/M | $2.20 | $0.70 |
| Weights | Open | Open |

## Coding

- GLM-4.5: 41.1 (#121)
- Qwen2.5 7B Instruct: 35.9 (#204)

| Benchmark | GLM-4.5 | Qwen2.5 7B Instruct |
|---|---|---|
| SWE-bench Verified (bash only) | 54.2% | — |
| WeirdML | 40.6% | — |
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1434 | — |
| BigCodeBench Complete | — | 46.1% |
| ALE-Bench | 344.82 | — |
| AlgoTune | 1.52 | — |

## Agentic & Tool Use

- GLM-4.5: —
- Qwen2.5 7B Instruct: 23.5 (#117)

| Benchmark | GLM-4.5 | Qwen2.5 7B Instruct |
|---|---|---|
| BALROG | — | 7.8% |

## Reasoning

- GLM-4.5: 27.7 (#99)
- Qwen2.5 7B Instruct: 14.3 (#317)

| Benchmark | GLM-4.5 | Qwen2.5 7B Instruct |
|---|---|---|
| Kagi LLM Benchmark | 57.9% | — |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 1430 | — |
| DTBench | — | 47.7% |
| LMCA | — | 6.4% |
| Epoch Capabilities Index | — | 118.44 |

## Math

- GLM-4.5: 36.3 (#119)
- Qwen2.5 7B Instruct: 11.8 (#300)

| Benchmark | GLM-4.5 | Qwen2.5 7B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 2.5% |
| Omni-MATH | — | 29.4% |
| LMArena Math | 1427 | — |

## Knowledge

- GLM-4.5: 35.5 (#172)
- Qwen2.5 7B Instruct: 17.0 (#281)

| Benchmark | GLM-4.5 | Qwen2.5 7B Instruct |
|---|---|---|
| GPQA Diamond | — | 35.5% |
| Humanity's Last Exam | 8.3% | — |
| MMLU-Pro | — | 53.9% |
| Confabulations | 11.3% | — |
| GPQA (HELM) | — | 34.1% |
| LMArena Expert | 1433 | — |
| MMLU | — | 72.9% |

## Multilingual

- GLM-4.5: 53.0 (#74)
- Qwen2.5 7B Instruct: —

| Benchmark | GLM-4.5 | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Non-English | 1417 | — |
| LMArena Chinese | 1465 | — |
| LMArena French | 1423 | — |
| LMArena German | 1406 | — |
| LMArena Japanese | 1416 | — |
| LMArena Korean | 1382 | — |
| LMArena Russian | 1414 | — |
| LMArena Spanish | 1454 | — |

## Instruction Following

- GLM-4.5: 74.3 (#100)
- Qwen2.5 7B Instruct: 63.4 (#226)

| Benchmark | GLM-4.5 | Qwen2.5 7B Instruct |
|---|---|---|
| IFEval | — | 74.1% |
| LMArena Instruction Following | 1405 | — |

## Long Context

- GLM-4.5: 38.2 (#196)
- Qwen2.5 7B Instruct: —

| Benchmark | GLM-4.5 | Qwen2.5 7B Instruct |
|---|---|---|
| Fiction.LiveBench | 58.3% | — |
| LMArena Longer Query | 1413 | — |

## Writing & Preference

- GLM-4.5: 57.7 (#121)
- Qwen2.5 7B Instruct: 48.8 (#194)

| Benchmark | GLM-4.5 | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Text | 1430 | — |
| LMArena Creative Writing | 1395 | — |
| Short-Story Creative Writing | 73.4% | — |
| EQ-Bench Creative Writing | 1343 | — |
| WildBench | — | 73.1% |
| LMArena Multi-Turn | 1415 | — |

## FAQ

### Is GLM-4.5 better than Qwen2.5 7B Instruct?

GLM-4.5 is the stronger model overall, scoring 41.4 to 28.6 on the Noometry Index. Qwen2.5 7B Instruct costs 3.3× less per token, which makes it the better buy when GLM-4.5's lead doesn't matter for your workload.

### Which is cheaper, GLM-4.5 or Qwen2.5 7B Instruct?

Qwen2.5 7B Instruct is cheaper. It lists at $0.17 per million input tokens and $0.70 per million output tokens; GLM-4.5 lists at $0.60 and $2.20.

### Is GLM-4.5 or Qwen2.5 7B Instruct better for coding?

GLM-4.5 scores higher on coding benchmarks: 41.1 versus 35.9 in the Noometry coding category.

### Which has the bigger context window?

Both accept 131K tokens.

### How many benchmarks do GLM-4.5 and Qwen2.5 7B Instruct share?

0 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and Qwen2.5 7B Instruct has 15.